
<h1><span class="yiyi-st" id="yiyi-14">numpy.polynomial.hermite.hermmul</span></h1>
        <blockquote>
        <p>原文：<a href="https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite.hermmul.html">https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite.hermmul.html</a></p>
        <p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
        <p>校对：（虚位以待）</p>
        </blockquote>
    
<dl class="function">
<dt id="numpy.polynomial.hermite.hermmul"><span class="yiyi-st" id="yiyi-15"> <code class="descclassname">numpy.polynomial.hermite.</code><code class="descname">hermmul</code><span class="sig-paren">(</span><em>c1</em>, <em>c2</em><span class="sig-paren">)</span><a class="reference external" href="http://github.com/numpy/numpy/blob/v1.11.3/numpy/polynomial/hermite.py#L450-L513"><span class="viewcode-link">[source]</span></a></span></dt>
<dd><p><span class="yiyi-st" id="yiyi-16">将一个Hermite系列乘以另一个。</span></p>
<p><span class="yiyi-st" id="yiyi-17">返回两个Hermite系列<em class="xref py py-obj">c1</em> * <em class="xref py py-obj">c2</em>的乘积。</span><span class="yiyi-st" id="yiyi-18">参数是从最低阶“项”到最高的系数序列，例如[1,2,3]表示系列<code class="docutils literal"><span class="pre">P_0</span> <span class="pre">+</span> <span class="pre">2 * P_1</span> <span class="pre">+</span> <span class="pre">3 * P_2</span></code>。</span></p>
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<tr class="field-odd field"><th class="field-name"><span class="yiyi-st" id="yiyi-19">参数：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-20"><strong>c1，c2</strong>：array_like</span></p>
<blockquote>
<div><p><span class="yiyi-st" id="yiyi-21">1  -  D数组从低到高排列的Hermite系数系数。</span></p>
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<tr class="field-even field"><th class="field-name"><span class="yiyi-st" id="yiyi-22">返回：</span></th><td class="field-body"><p class="first"><span class="yiyi-st" id="yiyi-23"><strong>out</strong>：ndarray</span></p>
<blockquote class="last">
<div><p><span class="yiyi-st" id="yiyi-24">表示其乘积的Hermite系数系数。</span></p>
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<div class="admonition seealso">
<p class="first admonition-title"><span class="yiyi-st" id="yiyi-25">也可以看看</span></p>
<p class="last"><span class="yiyi-st" id="yiyi-26"><a class="reference internal" href="numpy.polynomial.hermite.hermadd.html#numpy.polynomial.hermite.hermadd" title="numpy.polynomial.hermite.hermadd"><code class="xref py py-obj docutils literal"><span class="pre">hermadd</span></code></a>，<a class="reference internal" href="numpy.polynomial.hermite.hermsub.html#numpy.polynomial.hermite.hermsub" title="numpy.polynomial.hermite.hermsub"><code class="xref py py-obj docutils literal"><span class="pre">hermsub</span></code></a>，<a class="reference internal" href="numpy.polynomial.hermite.hermdiv.html#numpy.polynomial.hermite.hermdiv" title="numpy.polynomial.hermite.hermdiv"><code class="xref py py-obj docutils literal"><span class="pre">hermdiv</span></code></a>，<a class="reference internal" href="numpy.polynomial.hermite.hermpow.html#numpy.polynomial.hermite.hermpow" title="numpy.polynomial.hermite.hermpow"><code class="xref py py-obj docutils literal"><span class="pre">hermpow</span></code></a></span></p>
</div>
<p class="rubric"><span class="yiyi-st" id="yiyi-27">笔记</span></p>
<p><span class="yiyi-st" id="yiyi-28">一般来说，两个C系列的（多项式）乘积导致不在Hermite多项式基组中的项。</span><span class="yiyi-st" id="yiyi-29">因此，为了将产品表达为Hermite系列，有必要将产品“再投影”到所述基础集合上，这可能产生“不直观的”（但是正确的）结果；请参阅下面的示例部分。</span></p>
<p class="rubric"><span class="yiyi-st" id="yiyi-30">例子</span></p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">numpy.polynomial.hermite</span> <span class="k">import</span> <span class="n">hermmul</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">hermmul</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">])</span>
<span class="go">array([ 52.,  29.,  52.,   7.,   6.])</span>
</pre></div>
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